| Promoting ecological protection and high-quality development in the Yellow River Basin is an important regional development strategy in China.The upper Yellow River region is facing the severe pressure of transformation and upgrading of traditional industries and ecological environment governance.The high-quality development of tourism is the realistic path choice for the upper Yellow River urban agglomeration to achieve industrial structure optimization and sustainable development.Tourism economy is an important indicator to measure the level of tourism development.Exploring the characteristics of tourism economic network structure and its influencing factors in the upper Yellow River urban agglomeration is of great significance to optimize the spatial structure of tourism economy and explore the path of coordinated and sustainable tourism development.At the same time,it can also provide important inspiration for promoting the high-quality development of the upper Yellow River and even the whole basin.This paper is divided into six parts.The first chapter describes the research background and significance of this paper,and summarizes the relevant researches at home and abroad,and finally introduces the research ideas and research methods adopted in this paper;The second chapter explains the concepts of urban agglomeration,tourism economic connection and tourism economic network structure,as well as the spatial interaction theory,core-edge theory,point-axis system theory and social network theory involved in the paper.The third chapter first introduces the general situation of the study area,then revises the traditional gravity model according to the research needs and the characteristics of the upper Yellow River urban agglomerations,and constructs the tourism economic connection intensity model of the upper Yellow River urban agglomerations.The model is used to estimate the degree and amount of tourism economic connections among 17 node cities in the upper Yellow River urban agglomeration in 2009,2014 and 2019.In Chapter 4,three 17×17 tourism economic connection matrices are constructed according to the calculation results of the previous chapter,and the segmentation values are selected to binarize the matrix and transform it into a binary matrix.Then five indexes including network density,network centrality,structural hole,core-edge structure and E-I assignment index are selected in social network analysis.With the help of UCINET software,this paper analyzes the structural characteristics of tourism economic network in the upper reaches of the Yellow River urban agglomeration.In Chapter 5,through QAP correlation analysis and regression analysis,eight factors such as spatial proximity,urban agglomeration subordination,economic development level,industrial structure,tourism resource endowment,tourism reception capacity,traffic conditions and opening-up degree have been studied on the tourism economic network structure of the upper Yellow River urban agglomeration.The sixth chapter draws the research conclusion and puts forward the optimization suggestion according to the previous research results,and finally reflects on the shortcomings of the paper and the problems to be further studied.Based on the above research work,the main conclusions of this paper are:(1)From 2009 to 2019,the degree and amount of tourism economic linkages in the upper Yellow River urban agglomerations increased significantly,and the tourism economic linkages between cities became increasingly close.However,the gap between the tourism economic linkages between node cities was still relatively large.Strong tourism economic linkages often occurred within sub-urban agglomerations,and the linkages between node cities belonging to different sub-urban agglomerations needed to be strengthened;(2)The structure of tourism economic network in the upper Yellow River urban agglomerations has changed from loose to tight,the control and influence of core cities on the network has weakened,and the status of marginal cities in the network has gradually increased;The number of core cities is increasing,the overall network is developing in the direction of multi-core,and the structure is becoming more balanced and stable,but the weak connection among the peripheral cities always restricts the further improvement and development of the overall network structure.The inner and outer connections of Hubao EYu urban agglomerations are relatively close,and there is a certain degree of distribution between Lanxi urban agglomerations and Ningxia along the Yellow River urban agglomerations.(3)QAP correlation analysis shows that spatial proximity,urban agglomeration membership,economic development level,industrial structure,tourism resource endowment and tourism reception capacity are closely related to the tourism economic network structure of the upper Yellow River urban agglomeration,while the correlation between traffic conditions and opening-up degree is not significant.QAP regression analysis shows that there are obvious time differences in the influencing factors of the tourism economic network structure of the upper Yellow River urban agglomeration,and the influencing factors at the three time nodes are not completely consistent.Only the spatial proximity factor always has a significant impact on the tourism economic network structure of the upper Yellow River urban agglomeration,but its influence degree is gradually decreasing.Finally,according to the research results,the author puts forward some suggestions to optimize the tourism economic network structure of the upper Yellow River urban agglomerations: establish high-quality development goals and adhere to ecological protection;Strengthen tourism economic ties and form a network pattern of connectivity;Positioning node city role to promote regional coordinated development;We will raise the level of tourism development factors and promote the optimization and adjustment of the network structure. |
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